T. G. I. Fernando

According to our database, T. G. I. Fernando authored at least 13 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of seven.
• Erdős number of seven.

2024

Detection and explanation of apparent personality using deep learning: a short review of current approaches and future directions.

W. M. K. S. Ilmini, T. G. I. Fernando

Computing, January, 2024

2023

Algorithms for path optimizations: a short survey.

S. C. M. S. De Sirisuriya, T. G. I. Fernando, M. K. A. Ariyaratne

Computing, February, 2023

2021

Finite Difference Weerakoon-Fernando Method to solve nonlinear equations without using derivatives.

S. L. Heenatigala, Sunethra Weerakoon, T. G. I. Fernando

CoRR, 2021

2019

Solving systems of nonlinear equations using a modified firefly algorithm (MODFA).

M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon

Swarm Evol. Comput., 2019

Multi-Step-Ahead Prediction of Exchange Rates Using Artificial Neural Networks: A Study on Selected Sri Lankan Foreign Exchange Rates.

A. J. P. Samarawickrama, T. G. I. Fernando

Proceedings of the 14th Conference on Industrial and Information Systems, 2019

Optimizing the Electrical Wire Routing through Multiple Points using Multi-Objective Ant Colony Algorithms for Electrical Wire Routing (MOACS-EWR).

W. P. J. Pemarathne, T. G. I. Fernando

Proceedings of the 14th Conference on Industrial and Information Systems, 2019

2018

Weerakoon-Fernando Method with accelerated third-order convergence for systems of nonlinear equations.

H. P. S. Nishani, Sunethra Weerakoon, T. G. I. Fernando, Menaka Liyanage

Int. J. Math. Model. Numer. Optimisation, 2018

2017

A recurrent neural network approach in predicting daily stock prices an application to the Sri Lankan stock market.

A. J. P. Samarawickrama, T. G. I. Fernando

Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

Computational personality traits assessment: A review.

W. M. K. S. Ilmini, T. G. I. Fernando

Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

2016

A self-tuning Firefly algorithm to tune the parameters of Ant Colony System (ACSFA).

M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon

CoRR, 2016

A self-tuning modified firefly algorithm to solve univariate nonlinear equations with complex roots.

M. K. A. Ariyaratne, T. G. I. Fernando, Sunethra Weerakoon

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem.

I. D. I. D. Ariyasingha, T. G. I. Fernando

Swarm Evol. Comput., 2015

2000

A variant of Newton's method with accelerated third-order convergence.

Sunethra Weerakoon, T. G. I. Fernando

Appl. Math. Lett., 2000